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The new financial regulation in Basel III and monetary policy : a macroprudential approach
Rubio, Margarita; Carrasco Gallego, José Antonio - In: Journal of financial stability 26 (2016), pp. 294-305
Persistent link: https://www.econbiz.de/10011705556
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Farmers characteristics and its influencing on loans resettlement decision in Sri Lanka
Aruppillai, Thayaparan; Phillip, Paulina Mary Godwin - In: International journal of economics and finance 6 (2014) 4, pp. 110-117
Persistent link: https://www.econbiz.de/10010348344
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Determinants of loan repayment behaviour of bank borrowers : a relative study with evidence from Bengaluru
Arumugam, Senthil Kumar; Prakash, M.; Ramesh, S. - In: Finance India : the quarterly journal of Indian … 36 (2022) 1, pp. 439-454
Persistent link: https://www.econbiz.de/10013349124
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Does gender diversity affect nonperforming loans? : international evidence from microfinance institutions
Aktaruzzaman, Khondker; Farooq, Omar - In: Borsa Istanbul Review 23 (2023) 4, pp. 865-875
diversity on boards and gender diversity among borrowers on nonperforming loans (NPLs) during the period 2010-2018. The results … show that microfinance institutions with a higher proportion of female borrowers have fewer NPLs than otherwise similar … microfinance institutions with a lower proportion of female borrowers. Regarding female board members, the results show no …
Persistent link: https://www.econbiz.de/10014383448
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The causal relationship between SME sustainability and banks’ risk
Shihadeh, Fadi Hassan; Naradda Gamage, Sisira Kumara; … - In: Economic research 32 (2019) 1,3, pp. 2743-2760
Persistent link: https://www.econbiz.de/10012585561
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Machine learning for credit risk in the Reactive Peru Program : a comparison of the Lasso and Ridge Regression models
Geraldo-Campos, Luis Alberto; Soria, Juan J.; … - In: Economies : open access journal 10 (2022) 8, pp. 1-21
COVID-19 has caused an economic crisis in the business world, leaving limitations in the continuity of the payment chain, with companies resorting to credit access. This study aimed to determine the optimal machine learning predictive model for the credit risk of companies under the Reactiva...
Persistent link: https://www.econbiz.de/10013338936
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Shaping the New Financial System
Moretti, Marina; Narain, Aditya; Kodres, Laura E.; … - International Monetary Fund (IMF) - 2010
risks posed by individual banks but also, importantly, those posed by nonbanks and the system as a whole. The recent …
Persistent link: https://www.econbiz.de/10011123891
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Dropouts, defaulters, and continuing borrowers : client exit from microfinance
Pearlman, Sarah - In: The developing economies 52 (2014) 4, pp. 301-321
Persistent link: https://www.econbiz.de/10010493176
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Microlending on mobile social credit platforms : an exploratory study using Philippine loan contracts
Mou, Jian; Westland, James Christopher; Phan, Tuan Q.; … - In: Electronic commerce research 20 (2020) 1, pp. 173-196
Persistent link: https://www.econbiz.de/10012224064
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Can social capital variables help to determine loan to value approved by banks?
Raya, Josep Maria - In: Journal of real estate research : JRER ; a publication … 44 (2022) 3, pp. 355-376
Persistent link: https://www.econbiz.de/10013364990